Why Are Teens So Stressed Science Fair Projects

The topic of your science fair project is critical to its success. If you select a topic that you are not interested in you will find the process of completing a science fair project boring and tedious. However, you can overcome this problem by focusing on something that either interests you or that impacts your life directly. Here is a topic for this year’s science fair project “why are teens so stressed?”

Background Research

“Why are teens so stress?” This is the topic for your science fair project this year. So now that you have a topic your next step is to conduct research on this subject. This research will need to begin with a general search of teen stress. The results from this search will provide you with leads on what is stressing out teens and what research has already been done.

Develop a Hypothesis

Now that you know a little bit about your topic your next step is to develop a hypothesis. Your hypothesis will predict what is stressing out teens. For example, your hypothesis may be that teen stress rates are impacted directly by the stricter entrance requirements for college.

Develop an Experiment

After you have a hypothesis you will need to find a way to test that hypothesis. If your hypothesis is that teens are stressed by the increase in acceptance standards of colleges then you will need to design an experiment that tests how these higher standards are impacting student stress levels. You can do this by collecting data on college entrance requirements from the 70s and comparing them to those of today, and you can also conduct interviews with teens to figure out how stricter college entrance requirements are impacting their stress levels.

Collect Data

Data collection for this type of science fair project will involve collecting data and information from government and nonprofit sources, as well as collecting data directly from your own test subjects. When you are collecting data from your test subjects make sure your test conditions remain constant for each experiment. This will help to ensure your data is reliable and valid.